Residual neural network (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Residual neural network" in English language version.

refsWebsite

Global rank English rank

17arxiv.org

69^th place

59^th place

15doi.org

2^nd place

6thecvf.com

low place

4nih.gov

4^th place

3semanticscholar.org

11^th place

8^th place

3springer.com

274^th place

309^th place

3worldcat.org

5^th place

2image-net.org

low place

2neurips.cc

low place

1researchgate.net

120^th place

125^th place

1openai.com

1,559^th place

1,155^th place

1web.archive.org

1^st place

1d2l.ai

low place

1aaai.org

9,352^nd place

5,696^th place

1mlr.press

low place

1physiology.org

5,293^rd place

7,651^st place

1ethz.ch

2,224^th place

1,900^th place

1books.google.com

3^rd place

1gwern.net

low place

9,044^th place

1jmlr.org

low place

1jku.at

low place

1psu.edu

207^th place

136^th place

1microsoft.com

153^rd place

151^st place

aaai.org

cdn.aaai.org

Szegedy, Christian; Ioffe, Sergey; Vanhoucke, Vincent; Alemi, Alex (2017). Inception-v4, Inception-ResNet and the impact of residual connections on learning (PDF). AAAI Conference on Artificial Intelligence. arXiv:1602.07261. doi:10.1609/aaai.v31i1.11231.

arxiv.org

He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). Deep Residual Learning for Image Recognition (PDF). Conference on Computer Vision and Pattern Recognition. arXiv:1512.03385. doi:10.1109/CVPR.2016.90.
Hanin, Boris; Rolnick, David (2018). How to Start Training: The Effect of Initialization and Architecture (PDF). Conference on Neural Information Processing Systems. Vol. 31. Curran Associates, Inc. arXiv:1803.01719.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). Identity Mappings in Deep Residual Networks (PDF). European Conference on Computer Vision. arXiv:1603.05027. doi:10.1007/978-3-319-46493-0_38.
Szegedy, Christian; Ioffe, Sergey; Vanhoucke, Vincent; Alemi, Alex (2017). Inception-v4, Inception-ResNet and the impact of residual connections on learning (PDF). AAAI Conference on Artificial Intelligence. arXiv:1602.07261. doi:10.1609/aaai.v31i1.11231.
Dong, Yihe; Cordonnier, Jean-Baptiste; Loukas, Andreas (2021). Attention is not all you need: pure attention loses rank doubly exponentially with depth (PDF). International Conference on Machine Learning. PMLR. pp. 2793–2803. arXiv:2103.03404.
Liao, Qianli; Poggio, Tomaso (2016). "Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex". arXiv:1604.03640 [cs.LG].
Xiao, Will; Chen, Honglin; Liao, Qianli; Poggio, Tomaso (2019). Biologically-Plausible Learning Algorithms Can Scale to Large Datasets. International Conference on Learning Representations. arXiv:1811.03567.
Srivastava, Rupesh Kumar; Greff, Klaus; Schmidhuber, Jürgen (3 May 2015). "Highway Networks". arXiv:1505.00387 [cs.LG].
Srivastava, Rupesh Kumar; Greff, Klaus; Schmidhuber, Jürgen (2015). Training Very Deep Networks (PDF). Conference on Neural Information Processing Systems. arXiv:1507.06228.
Simonyan, Karen; Zisserman, Andrew (2015-04-10). "Very Deep Convolutional Networks for Large-Scale Image Recognition". arXiv:1409.1556 [cs.CV].
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2015). Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification (PDF). International Conference on Computer Vision. arXiv:1502.01852. doi:10.1109/ICCV.2015.123.
Zagoruyko, Sergey; Komodakis, Nikos (2016-05-23). "Wide Residual Networks". arXiv:1605.07146 [cs.CV].
Huang, Gao; Liu, Zhuang; van der Maaten, Laurens; Weinberger, Kilian (2017). Densely Connected Convolutional Networks (PDF). Conference on Computer Vision and Pattern Recognition. arXiv:1608.06993. doi:10.1109/CVPR.2017.243.
Huang, Gao; Sun, Yu; Liu, Zhuang; Weinberger, Kilian (2016). Deep Networks with Stochastic Depth (PDF). European Conference on Computer Vision. arXiv:1603.09382. doi:10.1007/978-3-319-46493-0_39.
Lee, Youngwan; Kim, Jonghee; Willette, Jeffrey; Hwang, Sung Ju (2022). MPViT: Multi-Path Vision Transformer for Dense Prediction (PDF). Conference on Computer Vision and Pattern Recognition. pp. 7287–7296. arXiv:2112.11010. doi:10.1109/CVPR52688.2022.00714.
Xie, Saining; Girshick, Ross; Dollar, Piotr; Tu, Zhuowen; He, Kaiming (2017). Aggregated Residual Transformations for Deep Neural Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 1492–1500. arXiv:1611.05431. doi:10.1109/CVPR.2017.634.
Hu, Jie; Shen, Li; Sun, Gang (2018). Squeeze-and-Excitation Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 7132–7141. arXiv:1709.01507. doi:10.1109/CVPR.2018.00745.

books.google.com

Venables, W. N.; Ripley, Brain D. (1994). Modern Applied Statistics with S-Plus. Springer. pp. 261–262. ISBN 9783540943501.

d2l.ai

Zhang, Aston; Lipton, Zachary; Li, Mu; Smola, Alexander J. (2024). "8.6. Residual Networks (ResNet) and ResNeXt". Dive into deep learning. Cambridge New York Port Melbourne New Delhi Singapore: Cambridge University Press. ISBN 978-1-009-38943-3.

doi.org

He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). Deep Residual Learning for Image Recognition (PDF). Conference on Computer Vision and Pattern Recognition. arXiv:1512.03385. doi:10.1109/CVPR.2016.90.
Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Li, Fei-Fei (2009). ImageNet: A large-scale hierarchical image database. Conference on Computer Vision and Pattern Recognition. doi:10.1109/CVPR.2009.5206848.
Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). Identity Mappings in Deep Residual Networks (PDF). European Conference on Computer Vision. arXiv:1603.05027. doi:10.1007/978-3-319-46493-0_38.
Szegedy, Christian; Ioffe, Sergey; Vanhoucke, Vincent; Alemi, Alex (2017). Inception-v4, Inception-ResNet and the impact of residual connections on learning (PDF). AAAI Conference on Artificial Intelligence. arXiv:1602.07261. doi:10.1609/aaai.v31i1.11231.
Winding, Michael; Pedigo, Benjamin; Barnes, Christopher; Patsolic, Heather; Park, Youngser; Kazimiers, Tom; Fushiki, Akira; Andrade, Ingrid; Khandelwal, Avinash; Valdes-Aleman, Javier; Li, Feng; Randel, Nadine; Barsotti, Elizabeth; Correia, Ana; Fetter, Fetter; Hartenstein, Volker; Priebe, Carey; Vogelstein, Joshua; Cardona, Albert; Zlatic, Marta (10 Mar 2023). "The connectome of an insect brain". Science. 379 (6636): eadd9330. bioRxiv 10.1101/2022.11.28.516756v1. doi:10.1126/science.add9330. PMC 7614541. PMID 36893230. S2CID 254070919.
De N, Rafael Lorente (1938-05-01). "Analysis of the Activity of the Chains of Internuncial Neurons". Journal of Neurophysiology. 1 (3): 207–244. doi:10.1152/jn.1938.1.3.207. ISSN 0022-3077.
McCulloch, Warren S.; Pitts, Walter (1943-12-01). "A logical calculus of the ideas immanent in nervous activity". The Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259. ISSN 1522-9602.
Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). "Learning to Forget: Continual Prediction with LSTM". Neural Computation. 12 (10): 2451–2471. CiteSeerX 10.1.1.55.5709. doi:10.1162/089976600300015015. PMID 11032042. S2CID 11598600.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2015). Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification (PDF). International Conference on Computer Vision. arXiv:1502.01852. doi:10.1109/ICCV.2015.123.
Huang, Gao; Liu, Zhuang; van der Maaten, Laurens; Weinberger, Kilian (2017). Densely Connected Convolutional Networks (PDF). Conference on Computer Vision and Pattern Recognition. arXiv:1608.06993. doi:10.1109/CVPR.2017.243.
Huang, Gao; Sun, Yu; Liu, Zhuang; Weinberger, Kilian (2016). Deep Networks with Stochastic Depth (PDF). European Conference on Computer Vision. arXiv:1603.09382. doi:10.1007/978-3-319-46493-0_39.
Lee, Youngwan; Kim, Jonghee; Willette, Jeffrey; Hwang, Sung Ju (2022). MPViT: Multi-Path Vision Transformer for Dense Prediction (PDF). Conference on Computer Vision and Pattern Recognition. pp. 7287–7296. arXiv:2112.11010. doi:10.1109/CVPR52688.2022.00714.
Xie, Saining; Girshick, Ross; Dollar, Piotr; Tu, Zhuowen; He, Kaiming (2017). Aggregated Residual Transformations for Deep Neural Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 1492–1500. arXiv:1611.05431. doi:10.1109/CVPR.2017.634.
Hu, Jie; Shen, Li; Sun, Gang (2018). Squeeze-and-Excitation Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 7132–7141. arXiv:1709.01507. doi:10.1109/CVPR.2018.00745.

ethz.ch

safari.ethz.ch

Rosenblatt, Frank (1961). Principles of neurodynamics. perceptrons and the theory of brain mechanisms (PDF).

gwern.net

Lang, Kevin; Witbrock, Michael (1988). "Learning to tell two spirals apart" (PDF). Proceedings of the 1988 Connectionist Models Summer School: 52–59.

image-net.org

"ILSVRC2015 Results". image-net.org.
Jie, Hu (2017). Squeeze-and-Excitation Networks (PDF). Beyond ImageNet Large Scale Visual Recognition Challenge, Workshop at CVPR 2017 (Presentation).

jku.at

bioinf.jku.at

Hochreiter, Sepp (1991). Untersuchungen zu dynamischen neuronalen Netzen (PDF) (diploma thesis). Technical University Munich, Institute of Computer Science, advisor: J. Schmidhuber.

jmlr.org

Bengio, Yoshua; Ducharme, Réjean; Vincent, Pascal; Jauvin, Christian (2003). "A Neural Probabilistic Language Model". Journal of Machine Learning Research. 3 (Feb): 1137–1155. ISSN 1533-7928.

microsoft.com

blogs.microsoft.com

Linn, Allison (2015-12-10). "Microsoft researchers win ImageNet computer vision challenge". The AI Blog. Retrieved 2024-06-29.

mlr.press

proceedings.mlr.press

Dong, Yihe; Cordonnier, Jean-Baptiste; Loukas, Andreas (2021). Attention is not all you need: pure attention loses rank doubly exponentially with depth (PDF). International Conference on Machine Learning. PMLR. pp. 2793–2803. arXiv:2103.03404.

neurips.cc

proceedings.neurips.cc

Hanin, Boris; Rolnick, David (2018). How to Start Training: The Effect of Initialization and Architecture (PDF). Conference on Neural Information Processing Systems. Vol. 31. Curran Associates, Inc. arXiv:1803.01719.
Srivastava, Rupesh Kumar; Greff, Klaus; Schmidhuber, Jürgen (2015). Training Very Deep Networks (PDF). Conference on Neural Information Processing Systems. arXiv:1507.06228.

nih.gov

pubmed.ncbi.nlm.nih.gov

Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.
Winding, Michael; Pedigo, Benjamin; Barnes, Christopher; Patsolic, Heather; Park, Youngser; Kazimiers, Tom; Fushiki, Akira; Andrade, Ingrid; Khandelwal, Avinash; Valdes-Aleman, Javier; Li, Feng; Randel, Nadine; Barsotti, Elizabeth; Correia, Ana; Fetter, Fetter; Hartenstein, Volker; Priebe, Carey; Vogelstein, Joshua; Cardona, Albert; Zlatic, Marta (10 Mar 2023). "The connectome of an insect brain". Science. 379 (6636): eadd9330. bioRxiv 10.1101/2022.11.28.516756v1. doi:10.1126/science.add9330. PMC 7614541. PMID 36893230. S2CID 254070919.
Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). "Learning to Forget: Continual Prediction with LSTM". Neural Computation. 12 (10): 2451–2471. CiteSeerX 10.1.1.55.5709. doi:10.1162/089976600300015015. PMID 11032042. S2CID 11598600.

ncbi.nlm.nih.gov

Winding, Michael; Pedigo, Benjamin; Barnes, Christopher; Patsolic, Heather; Park, Youngser; Kazimiers, Tom; Fushiki, Akira; Andrade, Ingrid; Khandelwal, Avinash; Valdes-Aleman, Javier; Li, Feng; Randel, Nadine; Barsotti, Elizabeth; Correia, Ana; Fetter, Fetter; Hartenstein, Volker; Priebe, Carey; Vogelstein, Joshua; Cardona, Albert; Zlatic, Marta (10 Mar 2023). "The connectome of an insect brain". Science. 379 (6636): eadd9330. bioRxiv 10.1101/2022.11.28.516756v1. doi:10.1126/science.add9330. PMC 7614541. PMID 36893230. S2CID 254070919.

openai.com

cdn.openai.com

Radford, Alec; Wu, Jeffrey; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya (14 February 2019). "Language models are unsupervised multitask learners" (PDF). Archived (PDF) from the original on 6 February 2021. Retrieved 19 December 2020.

physiology.org

De N, Rafael Lorente (1938-05-01). "Analysis of the Activity of the Chains of Internuncial Neurons". Journal of Neurophysiology. 1 (3): 207–244. doi:10.1152/jn.1938.1.3.207. ISSN 0022-3077.

psu.edu

citeseerx.ist.psu.edu

Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). "Learning to Forget: Continual Prediction with LSTM". Neural Computation. 12 (10): 2451–2471. CiteSeerX 10.1.1.55.5709. doi:10.1162/089976600300015015. PMID 11032042. S2CID 11598600.

researchgate.net

Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.

semanticscholar.org

api.semanticscholar.org

Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.
Winding, Michael; Pedigo, Benjamin; Barnes, Christopher; Patsolic, Heather; Park, Youngser; Kazimiers, Tom; Fushiki, Akira; Andrade, Ingrid; Khandelwal, Avinash; Valdes-Aleman, Javier; Li, Feng; Randel, Nadine; Barsotti, Elizabeth; Correia, Ana; Fetter, Fetter; Hartenstein, Volker; Priebe, Carey; Vogelstein, Joshua; Cardona, Albert; Zlatic, Marta (10 Mar 2023). "The connectome of an insect brain". Science. 379 (6636): eadd9330. bioRxiv 10.1101/2022.11.28.516756v1. doi:10.1126/science.add9330. PMC 7614541. PMID 36893230. S2CID 254070919.
Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). "Learning to Forget: Continual Prediction with LSTM". Neural Computation. 12 (10): 2451–2471. CiteSeerX 10.1.1.55.5709. doi:10.1162/089976600300015015. PMID 11032042. S2CID 11598600.

springer.com

link.springer.com

He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). Identity Mappings in Deep Residual Networks (PDF). European Conference on Computer Vision. arXiv:1603.05027. doi:10.1007/978-3-319-46493-0_38.
McCulloch, Warren S.; Pitts, Walter (1943-12-01). "A logical calculus of the ideas immanent in nervous activity". The Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259. ISSN 1522-9602.
Huang, Gao; Sun, Yu; Liu, Zhuang; Weinberger, Kilian (2016). Deep Networks with Stochastic Depth (PDF). European Conference on Computer Vision. arXiv:1603.09382. doi:10.1007/978-3-319-46493-0_39.

thecvf.com

openaccess.thecvf.com

He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). Deep Residual Learning for Image Recognition (PDF). Conference on Computer Vision and Pattern Recognition. arXiv:1512.03385. doi:10.1109/CVPR.2016.90.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2015). Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification (PDF). International Conference on Computer Vision. arXiv:1502.01852. doi:10.1109/ICCV.2015.123.
Huang, Gao; Liu, Zhuang; van der Maaten, Laurens; Weinberger, Kilian (2017). Densely Connected Convolutional Networks (PDF). Conference on Computer Vision and Pattern Recognition. arXiv:1608.06993. doi:10.1109/CVPR.2017.243.
Lee, Youngwan; Kim, Jonghee; Willette, Jeffrey; Hwang, Sung Ju (2022). MPViT: Multi-Path Vision Transformer for Dense Prediction (PDF). Conference on Computer Vision and Pattern Recognition. pp. 7287–7296. arXiv:2112.11010. doi:10.1109/CVPR52688.2022.00714.
Xie, Saining; Girshick, Ross; Dollar, Piotr; Tu, Zhuowen; He, Kaiming (2017). Aggregated Residual Transformations for Deep Neural Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 1492–1500. arXiv:1611.05431. doi:10.1109/CVPR.2017.634.
Hu, Jie; Shen, Li; Sun, Gang (2018). Squeeze-and-Excitation Networks (PDF). Conference on Computer Vision and Pattern Recognition. pp. 7132–7141. arXiv:1709.01507. doi:10.1109/CVPR.2018.00745.

web.archive.org

Radford, Alec; Wu, Jeffrey; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya (14 February 2019). "Language models are unsupervised multitask learners" (PDF). Archived (PDF) from the original on 6 February 2021. Retrieved 19 December 2020.

worldcat.org

search.worldcat.org

De N, Rafael Lorente (1938-05-01). "Analysis of the Activity of the Chains of Internuncial Neurons". Journal of Neurophysiology. 1 (3): 207–244. doi:10.1152/jn.1938.1.3.207. ISSN 0022-3077.
McCulloch, Warren S.; Pitts, Walter (1943-12-01). "A logical calculus of the ideas immanent in nervous activity". The Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259. ISSN 1522-9602.
Bengio, Yoshua; Ducharme, Réjean; Vincent, Pascal; Jauvin, Christian (2003). "A Neural Probabilistic Language Model". Journal of Machine Learning Research. 3 (Feb): 1137–1155. ISSN 1533-7928.